Automated intruder detection from image sequences using minimum volume sets
This article was published in the International Journal of Communication Networks and Information Security [© 2014 IJCNIS] and The Article's website is at: http://www.ijcnis.org/index.php/ijcnis/article/view/88
| Main Authors: | Ahmed, Tarem, Wei, Xianglin, Ahmed, Supriyo Sabbir, Pathan, Al-Sakib Khan |
|---|---|
| Other Authors: | Department of Electrical and Electronic Engineering, BRAC University |
| Format: | Article |
| Language: | English |
| Published: |
© 2012 International Journal of Communication Networks and Information Security
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10361/7206 |
Similar Items
-
Learning algorithms for anomaly detection from images
by: Ahmed, Tarem, et al.
Published: (2018) -
Multi images retrieved for automatic intruder detection using kernel-based learning algorithm
by: Shahrear, S.M Fardin, et al.
Published: (2016) -
Efficient and effective automated surveillance agents using kernel tricks
by: Ahmed, Tarem, et al.
Published: (2016) -
Real time action recognition from video footage
by: Apon, Tasnim Sakib, et al.
Published: (2021) -
Anomaly detection In IoT using machine learning algorithms
by: Arko, Aritro Roy, et al.
Published: (2019)